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Joint Optimization of Hybrid Energy Storage and Generation Capacity With Renewable Energy

机译：混合能源储能与可再生能源发电容量的联合优化

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摘要

In an isolated power grid or a micro-grid with a small carbon footprint, the penetration of renewable energy is usually high. In such power grids, energy storage is important to guarantee an uninterrupted and stable power supply for end users. Different types of energy storage have different characteristics, including their round-trip efficiency, power and energy rating, self-discharge, and investment and maintenance costs. In addition, the load characteristics and availability of different types of renewable energy sources vary in different geographic regions and at different times of year. Therefore joint capacity optimization for multiple types of energy storage and generation is important when designing this type of power systems. In this paper, we formulate a cost minimization problem for storage and generation planning, considering both the initial investment cost and operational/maintenance cost, and propose a distributed optimization framework to overcome the difficulty brought about by the large size of the optimization problem. The results will help in making decisions on energy storage and generation capacity planning in future decentralized power grids with high renewable penetrations.
机译：在孤立的电网或碳足迹较小的微电网中，可再生能源的渗透率通常很高。在这样的电网中，能量存储对于确保为最终用户提供不间断且稳定的电源至关重要。不同类型的储能器具有不同的特性，包括往返效率，功率和能量额定值，自放电以及投资和维护成本。此外，不同类型的可再生能源的负荷特性和可用性在不同的地理区域和一年中的不同时间有所不同。因此，在设计此类电力系统时，针对多种类型的能量存储和发电进行联合容量优化非常重要。在本文中，我们考虑初始投资成本和运营/维护成本，制定了用于存储和发电计划的成本最小化问题，并提出了一种分布式优化框架，以克服由于优化问题规模大而带来的困难。研究结果将有助于制定未来可再生能源普及率较高的分散电网的储能和发电容量计划。

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